Self-Supervised Transformer Model for Intelligent Predictive Disaster Risk Maintenance Through Early Alerts
Accurate and timely prediction of natural disasters remains difficult because of complex spatio-temporal dynamics and the heterogeneity of environmental data. This paper presents a Transformer-based multimodal framework for early disaster forecasting that integrates seismic signals, atmospheric parameters, and satellit...